AI/ML Development Analyst

Commonfund•Norwalk, CT

About The Position

Commonfund is seeking a highly motivated AI/ML Development Analyst to design, develop, and deploy advanced artificial intelligence and machine learning solutions. The ideal candidate will have strong experience in AI/ML development, Agentic AI systems, Python programming, SQL, and web application development. This role involves building intelligent systems, developing data-driven models, and integrating AI capabilities into scalable applications for business processes at Commonfund. Candidates should have a strong analytical mindset and an interest in applying AI/ML solutions within the financial domain.

Requirements

Bachelor’s or Master’s degree in Mathematics, Data Science, Computer Science with Artificial Intelligence, or a related field.
Strong experience with Python programming.
Minimum one year hands-on experience developing machine learning or AI-based solutions.
Experience building or working with Agentic AI systems or autonomous AI workflows.
Strong knowledge of SQL and database systems.
Experience with web development frameworks or API development.
Experience with ML frameworks as TensorFlow, PyTorch, or Scikit-learn
Strong analytical, problem-solving, and debugging skills.
Ability to work independently and collaboratively in a fast-paced environment.

Nice To Haves

Experience working with financial data and developing financial applications.
Experience with LLM integration, prompt engineering, and AI orchestration frameworks.
Knowledge of data engineering pipelines and cloud platforms (AWS, Azure).
Experience building production-grade AI applications.

Responsibilities

Design, develop, and deploy machine learning and AI-driven solutions for business and financial applications.
Build and implement Agentic AI systems, including autonomous workflows and multi-agent architectures.
Develop and maintain data pipelines, model training workflows, and inference services.
Analyze large datasets to extract insights and build predictive or decision-support models.
Design and implement APIs and web-based interfaces for AI/ML solutions.
Write efficient and scalable code using Python and related frameworks.
Use SQL to query, transform, and analyze structured data.
Collaborate with cross-functional teams including product, engineering, and data teams to integrate AI capabilities into applications.
Evaluate new AI/ML techniques, frameworks, and research for potential adoption.
Document models, algorithms, and system architectures.
Ensure solutions follow best practices for security, scalability, and reliability.